Kunal Singal

Papers

Total Citations

244

H-Index

About

Kunal Singal is a researcher whose work sits at the intersection of computer vision, human-computer interaction, and robotics. His research has focused primarily on hand gesture recognition and the development of intuitive interfaces that allow humans to interact with and control machines through natural movement. Singal's most influential contribution, "Tracking of Fingertips and Centers of Palm Using KINECT," published in 2011, has garnered over 200 citations, establishing him as a notable voice in depth-sensor-based gesture recognition. The work addresses the formidable challenge of modeling the human hand's complex geometry in virtual environments — a problem that, despite its difficulty, holds enormous promise given the hand's remarkable degrees of freedom. His research extended into artificial neural network applications for robotics, particularly in computing precise finger positions, bridging the gap between human gesture sensing and robotic replication. Singal's body of work reflects a consistent drive to make machine interaction more natural and accessible, with implications spanning virtual reality, assistive technology, and robotics. His contributions continue to inform researchers working on gesture-driven interfaces and bio-inspired robotic hand design.